Feminist epistemology aims to propose epistemic reasons for increasing the representation of women or socially subordinated people in science. This is typically done—albeit often only implicitly—by positing a causal mechanism through which the representation of sociodemographic minorities exerts a positive effect on scientific advancement. Two types of causal theories can be identified. The “epistemic diversity thesis” presents a causal path from sociodemographic diversity to scientific progress mediated by epistemic diversity. The “thesis of epistemic advantage” proposes (...) a causal path from social subjugation to capacity for inquiry. The latter theory is defined with substantial ambiguity in the existing literature, and I present an explicit causal reformulation that disambiguates it. The epistemic diversity thesis focuses on the effect of group composition on collective epistemic performance and is largely silent about what kind of characteristics lead to individual epistemic excellence. On the other hand, the thesis of epistemic advantage seeks to identify sociodemographic background conditions that make certain epistemic agents strictly better knowers or inquirers than others and pays little attention to the synergistic effects of diverse group composition. Such a difference in the causal structure reflects the diverging political characteristics of the two theories. (shrink)

INTRODUCTION SECTION I In the last 20 years or so philosophers in the analytic tradition have taken an increasing interest in causal theories of a wide ...

It is generally agreed upon that Grice's causal theory of perception describes a necessary condition for perception. It does not describe sufficient conditions, however, since there are entities in causal chains that we do not perceive and not all causal chains yield perceptions. One strategy for overcoming these problems is that of strengthening the notion of causality. Another is that of specifying the criteria according to which perceptual experiences should match the way the world is. Finally, one (...) can also try to provide sufficient conditions by elaborating on the content of perceptual experiences. These different strategies are considered in this paper, with the conclusion that none of them is successful. However, a careful examination of their problems points towards the general solution that we outline at the end. (shrink)

This book aims to answer two main questions about Aristotle’s theory of causality and causal explanation, especially in relation to natural science: (1) How does he answer the main philosophical questions about causes to which he thinks his predecessors’ answers are flawed? (2) How do his answers bear on the main questions we confront in thinking about causality in general? The texts that deal with causality directly are analyzed against the background of his criticisms of his predecessors and his (...) broader views about explanation, highlighting their theoretically important commitments. This allows us to reveal the conceptual architecture of his theory. The basic theory is then applied to two questions about causality, one metaphysical and one epistemological. The metaphysical question is how to account for the relation between causes and what they cause, in light of a fundamental tension between different desiderata for causal explanations. Aristotle’s answer is pluralistic: he does not think that there is one metaphysical relationship between causes and what they cause even within a given mode of causality. The epistemological question asks how we grasp causes, and grasp them in a way that yields scientific understanding. Aristotle’s answer is again a pluralist one: metaphysically different phenomena demand different cognitive resources, and some are more accessible than others. Nevertheless, there is a discernible path from simpler to more sophisticated types of cognitive grasp on causality, in such a way that Aristotle can plausibly satisfy the epistemological constraints he thinks his predecessors cannot. Aristotle thus aims to provide a non-reductionist account of causality that still leaves room for a substantive conception of understanding in natural science. (shrink)

Many philosophers believe that there is a causal condition on perception, and that this condition is a conceptual truth about perception. A highly influential argument for this claim is based on intuitive responses to Gricean style thought experiments. Do the folk share the intuitions of philosophers? Roberts et al. (2016) presented participants with two kinds of cases: Blocker cases (similar to Grice’s case involving a mirror and a pillar) and Non-Blocker cases (similar to Grice’s case involving a clock and (...) brain stimulation). They found that a substantial minority agreed that seeing occurs in the Non-Blocker cases, and that in the Blocker cases significantly less agreed that seeing occurs. They thus hypothesized that folk intuitions better align with a no blocker condition than with a causal condition. This paper continues this line of enquiry with two new experiments. The paper investigates the generality and robustness of Roberts et al.’s findings by expanding the sense modalities tested from only vision to audition and olfaction as well. The paper also uses Gricean style thought experiments as a case study for investigating the “reflection defense” against the negative project in experimental philosophy. Our results replicate and extend Roberts et al.’s study and support their hypothesis that folk intuitions better align with a no blocker condition. They also provide an empirical reason to doubt the reflection defense. (shrink)

Recently, it has been argued that the use of Big Data transforms the sciences, making data-driven research possible and studying causality redundant. In this paper, I focus on the claim on causal knowledge by examining the Big Data project EXPOsOMICS, whose research is funded by the European Commission and considered capable of improving our understanding of the relation between exposure and disease. While EXPOsOMICS may seem the perfect exemplification of the data-driven view, I show how causal knowledge is (...) necessary for the project, both as a source for handling complexity and as an output for meeting the project’s goals. Consequently, I argue that data-driven claims about causality are fundamentally flawed and causal knowledge should be considered a necessary aspect of Big Data science. In addition, I present the consequences of this result on other data-driven claims, concerning the role of theoretical considerations. I argue that the importance of causal knowledge and other kinds of theoretical engagement in EXPOsOMICS undermine theory-free accounts and suggest alternative ways of framing science based on Big Data. (shrink)

Relationalists about episodic memory must endorse a disjunctivist theory of memory-experience according to which cases of genuine memory and cases of total confabulation involve distinct kinds of mental event with different natures. This paper is concerned with a pair of arguments against this view, which are analogues of the ‘causal argument’ and the ‘screening off argument’ that have been pressed in recent literature against relationalist (and hence disjunctivist) theories of perception. The central claim to be advanced is that (...) to deal with these two arguments, memory disjunctivists both can and should draw on resources that are standardly appealed to by rival common factor theories of episodic memory, and, in particular, to the idea that genuine memories and merely apparent ones are to be distinguished, at least in part, in terms of the distinctive ways in which they are caused. On the proposed view, there are substantive causal constraints associated both with cases of genuine memory and with cases of mere confabulation. The resulting theory thus tells us something important about the nature both of genuine memories and of mere confabulations, namely, that such experiences must be caused in certain distinctive ways and cannot occur except as the result of a distinctive sort of causal process. In addition, the theory enables the disjunctivist to offer a unified response to an important pair of arguments against her view. (shrink)

Disasters in sociotechnical systems are caused by many factors. For example, the tragic chemical disaster in Bhopal, India, was caused by a leaky valve and a maintenance error. Safety scientists and investigators call these proximate factors. But the tragedy was also caused by what experts call systemic factors, which include the facility’s design, the organization of its workforce, and the safety culture of the plant and surrounding community. Other disasters share a similarly complex causality, depending on a multitude of proximate (...) and systemic factors. Investigators and scientists distinguish between these different types of factors because they think each has distinctive causal features and also because they often think some factors are more significant causes of disasters than others. In this dissertation, I analyze these distinctions and the reasoning experts use when selecting important causes of disasters in cases like the Bhopal gas tragedy and the Challenger shuttle loss. Using James Woodward’s interventionist theory of causation, I explicate three causal concepts that can be used to distinguish among causal factors: amplifying/damping, causal inertia, and causal delay. I employ these concepts to elaborate and clarify the causal features safety scientists identify to draw distinctions among different types of causal factors, and their reasons for thinking some causes are more important than others for understanding disasters. My dissertation takes a pragmatic approach to causal selection. Although philosophers have emphasized John Stuart Mill’s remark that selecting individual causal factors is “capricious,” I base my approach on Mill’s deeper thinking about the logic of causal selection and the philosophical challenge it poses. I show that selections of causal factors in investigations of disasters and the surrounding discussions of safety are motivated primarily by the dual aim of preventing future disasters and making systems safer. Considering these purposes is essential to understand why investigators single out causes with certain features. Analyzing causal selection in terms of why certain types of causes with certain kinds of features are more useful than others for particular purposes clarifies vital reasoning about the important causes of disasters and enriches our understanding of causal knowledge. (shrink)

Joseph Almog pointed out that Kripkean causal chains not only exist for names, but for all linguistic items (Almog 1984: 482). Based on this, he argues that the role of such chains is the presemantic one of assigning a linguistic meaning to the use of a name (1984: 484). This view is consistent with any number of theories about what such a linguistic meaning could be, and hence with very different views about the semantic reference of names. He (...) concludes that the causal theory is ‘rather trivial’ (1984: 487). In this paper I argue that Almog is correct to hold that the causal theory is trivial, but, contra Almog, argue that the triviality of the existence of causal chains is not a matter of such chains having a presemantic role in assigning linguistic meanings to utterances. Instead, such triviality is due to the fact that the causal theory reflects no more than a truism about the epistemology of convention acquisition. (shrink)

The paper examines definitions of ‘cause’ in the epidemiological literature. Those definitions all describe causes as factors that make a difference to the distribution of disease or to individual health status. In the philosophical jargon, causes in epidemiology are difference-makers. Two claims are defended. First, it is argued that those definitions underpin an epistemology and a methodology that hinge upon the notion of variation, contra the dominant Humean paradigm according to which we infer causality from regularity. Second, despite the (...) fact that causes be defined in terms of ‘difference-making’, this cannot fixes the causal metaphysics. Causality in epidemiology ought to be interpreted according to the epistemic theory. In this approach relations are deemed causal depending on the evidence and on the available methods. Indeed, evidence to establish causal claims requires difference-making considerations; furthermore, those definitions of cause reflect the ‘variational’ epistemology and methodology of epidemiology. (shrink)

Applied Evolutionary Epistemology is a scientific-philosophical theory that defines evolution as the set of phenomena whereby units evolve at levels of ontological hierarchies by mechanisms and processes. This theory also provides a methodology to study evolution, namely, studying evolution involves identifying the units that evolve, the levels at which they evolve, and the mechanisms and processes whereby they evolve. Identifying units and levels of evolution in turn requires the development of ontological hierarchy theories, and examining mechanisms and processes (...) necessitates theorizing about causality. Together, hierarchy and causality theories explain how biorealities form and diversify with time. This paper analyzes how Applied EE redefines both hierarchy and causality theories in the light of the recent explosion of network approaches to causal reasoning associated with studies on reticulate and macroevolution. Causality theories have often been framed from within a rigid, ladder-like hierarchy theory where the rungs of the ladder represent the different levels, and the elements on the rungs represent the evolving units. Causality then is either defined reductionistically as an upward movement along the strands of a singular hierarchy, or holistically as a downward movement along that same hierarchy. Upward causation theories thereby analyze causal processes in time, i.e. over the course of natural history or phylogenetically, as Darwin and the founders of the Modern Synthesis intended. Downward causation theories analyze causal processes in space, ontogenetically or ecologically, as the current eco-evo-devo schools are evidencing. This work demonstrates how macroevolution and reticulate evolution theories add to the complexity by examining reticulate causal processes in space–time, and the interactional hierarchies that such studies bring forth introduce a new form of causation that is here called reticulate causation. Reticulate causation occurs between units and levels belonging to different as well as to the same ontological hierarchies. This article concludes that beyond recognizing the existence of multiple units, levels, and mechanisms or processes of evolution, also the existence of multiple kinds of evolutionary causation as well as the existence of multiple evolutionary hierarchies needs to be acknowledged. This furthermore implies that evolution is a pluralistic process divisible into different kinds. (shrink)

Recently some arguments against Cartesian-style skepticism have been based on causal theories of content. I hope to show that the relevance of causal theories of content to what we can know is conditional in a more complex way than has been recognized so far.

Radical enactivism, an increasingly influential approach to cognition in general, has recently been applied to memory in particular, with Hutto and Peeters New directions in the philosophy of memory, Routledge, New York, 2018) providing the first systematic discussion of the implications of the approach for mainstream philosophical theories of memory. Hutto and Peeters argue that radical enactivism, which entails a conception of memory traces as contentless, is fundamentally at odds with current causal and postcausal theories, which remain (...) committed to a conception of traces as contentful: on their view, if radical enactivism is right, then the relevant theories are wrong. Partisans of the theories in question might respond to Hutto and Peeters’ argument in two ways. First, they might challenge radical enactivism itself. Second, they might challenge the conditional claim that, if radical enactivism is right, then their theories are wrong. In this paper, we develop the latter response, arguing that, appearances to the contrary notwithstanding, radical enactivism in fact aligns neatly with an emerging tendency in the philosophy of memory: radical enactivists and causal and postcausal theorists of memory have begun to converge, for distinct but compatible reasons, on a contentless conception of memory traces. (shrink)

Many philosophers believe that there is a causal condition on perception, and that this condition is a conceptual truth about perception. A highly influential argument for this claim is based on intuitive responses to Gricean-style thought experiments. Do the folk share the intuitions of philosophers? Roberts et al. (2016) presented participants with two kinds of cases: Blocker cases (similar to Grice’s case involving a mirror and a pillar) and Non-Blocker cases (similar to Grice’s case involving a clock and brain (...) stimulation). They found that a substantial minority agreed that seeing occurs in the Non-Blocker cases, and that in the Blocker cases significantly less agreed that seeing occurs. They thus hypothesized that folk intuitions better align with a no blocker condition than with a causal condition. This paper continues this line of enquiry with two new experiments. The paper investigates the generality and robustness of Roberts et al.’s findings by expanding the sense modalities tested from only vision to audition and olfaction as well. The paper also uses Gricean-style thought experiments as a case study for investigating the “reflection defense” against the negative project in experimental philosophy. Our results replicate and extend Roberts et al.’s study and support their hypothesis that folk intuitions better align with a no blocker condition. They also provide an empirical reason to doubt the reflection defense. (shrink)

Knowing is something that we do not have much of a theory about., p. 365.)Interest has recently been shown in causal theories of perception, memory, inference, reference, truth, justification and belief, as well as in a more general “causal theory of knowledge” which would embrace and connect all of these concepts within a broad epistemological framework. The burden of this paper is that prospects are poor for an interesting and general enough causal theory of knowledge. A (...) threat to generality arises from the causal theory's difficulties with knowledge of general truths. A threat to interest arises when attempts to accommodate general truths lead to a weakening of the notion of “causal connection” appealed to, making dubious the explanatory force of such an appeal. (shrink)

Abstract: Hilary Putnam has reformulated his model-theoretic argument as an argument against indirect realism in the philosophy of perception. This new argument is reviewed and defended. Putnam’s new focus on philosophical theories of perception (instead of metaphysical realism) makes better sense of his previous responses to the objection from the causal theory of reference. It is argued that the model-theoretic argument can also be construed as an argument that holders of a causal theory of reference should adopt (...) direct realism in the philosophy of perception. (shrink)

Newsome ((2003). The debate between current versions of covariation and mechanism approaches to causal inference. Philosophical Psychology, 16, 87-107.) recently published a critical review of psychological theories of human causal inference. In that review, he characterized covariation and mechanism theories, the two dominant theory types, as competing, and offered possible ways to integrate them. I argue that Newsome has misunderstood the theoretical landscape, and that covariation and mechanism theories do not directly conflict. Rather, they rely (...) on distinct sets of reliable indicators of causation, and focus on different types of causation (type vs. token). There are certainly debates in the research field, but the theoretical landscape is not as fractured as Newsome suggests, and a potential unifying framework has already emerged using causal Bayes nets. Philosophical work on causal epistemology matters for psychologists, but not in the way Newsome suggests. (shrink)

Situationists (e.g., Doris in Lack of character: personality and moral behavior, Cambridge University Press, Cambridge, 2002; Harman in Proc Aristot Soc 99:315–331, 1999. 10.2307/4545312), with reference to empirical work in psychology, have called into question the predictive and explanatory power of character traits and on this basis have criticized the empirical adequacy of moral virtue. More recently, Alfano (Philos Q 62(247):223–249, 2012; Character as moral fiction, Cambridge University Press, Cambridge, 2013) has extended the situationist critique from virtue ethics to virtue (...) epistemology. On the line he advances, virtue responsibilism—the view that intellectual character traits play an important part in traditional and untraditional epistemological inquiries—is criticized as empirically inadequate in light of the extent to which individuals are shown to be susceptible to seemingly trivial and epistemically irrelevant situational influences. Alfano’s attempted redeployment of the situationist challenge to virtue responsibilism is on closer inspection not as straightforward as he claims. It is granted that the empirical adequacy of virtue responsibilism will be eventually threatened if it can be shown that virtuous motivation is, in light of situational factors, causally ineffective. As it turns out, various psychological studies which situationists have overlooked, suggest that virtuous motivation is causally efficacious in a way that favours the position of the virtue responsibilist over the situationist. In the first part of this paper, I outline the hard core of virtue theory: both a rich motivation requirement, and a commitment to the inherent relation between virtue and a good life; then I assess whether these are undermined by situationist criticism. I address the confusion of the existing debate, and the conclusion drawn is that virtue theory ultimately remains unscathed. In the second part of my paper I defend the empirical adequacy of virtue theory based on self-determination theory. When we afford closer attention to studies on the orientation of our motivation, it becomes clear how the dynamics of our motivation have a tremendous influence on desirable behavioural outcomes: a good life. (shrink)

It is argued that the part-whole account of the relation between evidence and the larger state of affairs the evidence is evidence of—an account that was elucidated in the paper ‘Truthmaking, Evidence of, and Impossibility Proofs’ —provides a better basis for epistemology than causal relations between events. I apply this to a well-known phenomenon in physics which suggests that causal connectedness is not necessary for knowledge.

Embodied, embedded, enactive, and extended theorists do not typically focus on the ontological frameworks in which they develop their theories. One exception is 4E theories that embrace New Mechanism. In this paper, we endorse the New Mechanist’s general turn to ontology, but argue that their ontology is not the best on the market for 4E theories. Instead, we advocate for a different ontology: causal powers realism. Causal powers realism posits that psychological manifestations are the product (...) of mental powers, and that mental powers are empirically-discoverable features of individuals that account for the causal work those individuals do. We contend that causal powers realism provides a unifying framework for the central commitments of 4E theories, as well as additional resources for theorizing in a 4E framework. And while New Mechanism offers some of these resources as well, we argue that causal powers realism is ultimately the better of the two. (shrink)

Background: Evidence suggesting adverse drug reactions often emerges unsystematically and unpredictably in form of anecdotal reports, case series and survey data. Safety trials and observational studies also provide crucial information regarding the (un-)safety of drugs. Hence, integrating multiple types of pharmacovigilance evidence is key to minimising the risks of harm. Methods: In previous work, we began the development of a Bayesian framework for aggregating multiple types of evidence to assess the probability of a putative causal link between drugs and (...) side effects. This framework arose out of a philosophical analysis of the Bradford Hill Guidelines. In this article, we expand the Bayesian framework and add “evidential modulators,” which bear on the assessment of the reliability of incoming study results. The overall framework for evidence synthesis, “E-Synthesis”, is then applied to a case study. Results: Theoretically and computationally, E-Synthesis exploits coherence of partly or fully independent evidence converging towards the hypothesis of interest (or of conflicting evidence with respect to it), in order to update its posterior probability. With respect to other frameworks for evidence synthesis, our Bayesian model has the unique feature of grounding its inferential machinery on a consolidated theory of hypothesis confirmation (Bayesian epistemology), and in allowing any data from heterogeneous sources (cell-data, clinical trials, epidemiological studies), and methods (e.g., frequentist hypothesis testing, Bayesian adaptive trials, etc.) to be quantitatively integrated into the same inferential framework. Conclusions: E-Synthesis is highly flexible concerning the allowed input, while at the same time relying on a consistent computational system, that is philosophically and statistically grounded. Furthermore, by introducing evidential modulators, and thereby breaking up the different dimensions of evidence (strength, relevance, reliability), E-Synthesis allows them to be explicitly tracked in updating causal hypotheses. (shrink)

The Nature of Selection is a straightforward, self-contained introduction to philosophical and biological problems in evolutionary theory. It presents a powerful analysis of the evolutionary concepts of natural selection, fitness, and adaptation and clarifies controversial issues concerning altruism, group selection, and the idea that organisms are survival machines built for the good of the genes that inhabit them. "Sober's is the answering philosophical voice, the voice of a first-rate philosopher and a knowledgeable student of contemporary evolutionary theory. His book merits (...) broad attention among both communities. It should also inspire others to continue the conversation."-Philip Kitcher, Nature "Elliott Sober has made extraordinarily important contributions to our understanding of biological problems in evolutionary biology and causality. The Nature of Selection is a major contribution to understanding epistemological problems in evolutionary theory. I predict that it will have a long lasting place in the literature."-Richard C. Lewontin. (shrink)

This contribution claims that the two fundamental notions of causation at work in the health sciences are manipulative and mechanistic, and investigates what kinds of evidence matter for the assessment of causal relations. This article is a development of our 2007 article, ‘Plurality of Causality’, where we argue for a pluralistic account of causation with an eye to econometrics and a single medical example. The present contribution has a wider focus, and considers the notion of evidence within a whole (...) range of disciplines belonging to the health sciences. Section 1 addresses the relations between kinds of evidence and causal accounts, and it is shown how different notions of causation can be employed in various medical cases. Section 2 calls attention to issues crucial for any adequate epistemological theory of causation, such as the distinctions between types and tokens, observational and experimental regimes, explanation and prediction. Lastly, the notion of context is articulated, highlighted in its role in the assessment of causal links. All these issues are tackled in the framework of what we label a ‘bottom–up’ epistemology. (shrink)

Two arguments Paul Snowdon has brought against the causal theory of perception are examined. One involves the claim that, based on the phenomenology of perceptual situations, it cannot be the case that perception is an essentially causal concept. The other is a reductio , according to which causal theorists’ arguments imply that a proposition Snowdon takes to be obviously non-causal ( A is married to B ) can be analyzed into some sort of indefinite ‘spousal connection’ (...) plus a causal ingredient . I conclude that neither argument is sound. The reason that Snowdon’s critiques fail is that, since causal theories need not be about ‘effect ends’ that are internally manifest to perceivers, no such ostensibly separable, non-causal property as it being to S as if he were perceiving O need be an essential element in a causal theory of perception. (shrink)

This paper formulates a general epistemological argument against what I call non-causal realism, generalizing domain specific arguments by Benacerraf, Field, and others. First I lay out the background to the argument, making a number of distinctions that are sometimes missed in discussions of epistemological arguments against realism. Then I define the target of the argument—non-causal realism—and argue that any non-causal realist theory, no matter the subject matter, cannot be given a reasonable epistemology and so should be (...) rejected. Finally I discuss and respond to several possible responses to the argument. In addition to clearing up and avoiding numerous misunderstandings of arguments of this kind that are quite common in the literature, this paper aims to present and endorse a rigorous and fully general epistemological argument against realism. (shrink)

Two epistemological critiques of non-naturalism are not always carefully distinguished. According to the Causal Objection, the fact that moral properties cannot cause our moral beliefs implies that it would be a coincidence if many of them were true. According to the Evolutionary Objection, the fact that evolutionary pressures have influenced our moral beliefs implies a similar coincidence. After distinguishing these epistemological critiques, I provide an extensive defense of the Causal Objection that also strengthens the Evolutionary Objection. In particular, (...) I formulate a “Master Causal Objection” featuring the controversial premise that non-naturalism can provide no adequate explanation for moral knowledge. I defend this premise by first narrowing down the range of candidate explanations to conceptual, constitutive, and evolutionary explanations, and then considering and eliminating each of these in turn. My discussion of evolutionary explanations suggests that non-naturalists must refute the Causal Objection in order to refute the Evolutionary Objection. (shrink)

This paper contributes to an increasing literature strengthening the connection between epistemic logic and epistemology (Van Benthem, Hendricks). I give a survey of the most important applications of epistemic logic in epistemology. I show how it is used in the history of philosophy (Steiner's reconstruction of Descartes' sceptical argument), in solutions to Moore's paradox (Hintikka), in discussions about the relation between knowledge and belief (Lenzen) and in an alleged refutation of verificationism (Fitch) and I examine an early argument (...) about the (im)possibility of epistemic logic (Hocutt). Subsequently, I deal with interpretive questions about epistemic logic that, although implicitly, already appeared in the first section. I contend that a conception of epistemic logic as a theory of knowledge assertions is incoherent, and I argue that it does not make sense to adopt a normative interpretation of epistemic logic. Finally, I show ways to extend epistemic logic with other branches of philosophical logic so as to make it useful for some epistemological questions. Conditional logics and logics of public announcement are used to understand causal theories of knowledge and versions of reliabilism. Temporal logic helps understand some dynamic aspects of knowledge as well as the verificationist thesis. (shrink)

An analysis of the role of language in basic and applied science from the semantics of science and the theory of reference requires several steps. First, to specify the field of analysis in the light of several factors: the semantic problems of science; the reference in its triple dimension of relation between language and reality, of referent and of transmission in science; and the link between meaning and reference in science.Second, to consider the central approach to the semantics of science, (...) which forks into two main directions: the semantic line and the pragmatic path. De facto, they lead to different interpretations of the role of language in basic science and in applied science. The semantic line focuses on the content expressed through terms, statements and theories, which has been influential in important philosophical trends and still is prominent in some versions of scientific realism. Meanwhile, the pragmatic path emphasizes the meaning as use, which has influenced philosophers of science of diverse tendencies, such as S. Toulmin, Th. Kuhn, American pragmatists and supporters of the methodological pluralism.Third, to make explicit the leading conceptions regarding the theory of reference, both for the formal sciences and for the empirical sciences. There are a number of options, four of which are analyzed here. The view associated with the semantic role and the semantic value, which connects semantic, epistemological and ontological realms in basic science and in applied science. The causal theory of reference, which has shifted towards internal realism. Anti-realistic semantics, where truth is replaced by proof and the reference is the use made by someone of a term in a context. Kuhn’s approach in his linguistic period, where he rethinks the scientific revolutions taking into account the causal theory of reference.Fourth, to be aware of the consequences of these analyses for basic science and applied science in two ways: on the one hand, for the semantic differences between them, and, on the other, for the perspective of reference. (shrink)

A simple counterfactual theory of causation fails because of problems with cases of preemption. This might lead us to expect that preemption will raise problems for counterfactual theories of other concepts that have a causal dimension. Indeed, examples are easy to find. But there is one case where we do not find this. Several versions of causal decision theory are formulated using counterfactuals. This might lead us to expect that these theories will yield the wrong recommendations (...) in cases of preemption. But they do not. The explanation, I argue, is that the ‘cause’ that has been the target of counterfactual analyses is a specific relation, ‘actual causation’, that is not needed for prospective deliberation. A simple counterfactual theory of causation seems to capture the notion of cause needed for causal decision theory. This shows, in opposition to some critics, that counterfactual theories of causation are not barking up the wrong tree. (shrink)

BACKGROUND: Representing is about theories and theory formation. Philosophy of science has a long-standing interest in representing. At least since Ian Hacking's modern classic Representing and Intervening analytical philosophers have struggled to combine that interest with a study of the roles of intervention studies. With few exceptions this focus of philosophy of science has been on physics and other natural sciences. In particular, there have been few attempts to analyse the use of the notion of intervention in other disciplines (...) where intervention studies are important, such as in nursing research. One unintended consequence of this is that the relations between representing and intervening tend to be less understood outside the natural sciences. OBJECTIVES AND DESIGN: This article highlights a number of possible topics on which nursing science and analytic philosophy of science can fruitfully interact. The basic idea is simple. Building on a characterisation of interventions in terms of what is intervened on and with respect to what, we suggest that interventions in nursing research typically are a blend of varieties belonging to the three dimensions of agency, epistemology, and ontology. The details of the blend determine the relation of the particular intervention study to traditional representational categories such as inductivism and hypothetico-deductive method, and have a bearing on its explanatory power and other more theory independent features of research as well. The framework we suggest should be relevant for nurse researchers who want to adopt a more general and analytically entrenched perspective on representing and intervening than the methodological boundaries in nursing research typically allow. (shrink)

This book seeks to offer original answers to all the major open questions in epistemology—as indicated by the book’s title. These questions and answers arise organically in the course of a validation of the entire corpus of human knowledge. The book explains how we know what we know, and how well we know it. The author presents a positive theory, motivated and directed at every step not by a need to reply to skeptics or subjectivists, but by the need (...) of a rational individual to know the world. -/- The author draws heavily from Ayn Rand’s theory of concepts as presented in her book, Introduction to Objectivist Epistemology, but departs from her epistemology—especially as explicated by leading exponents of her philosophy—in important ways. Areas of departure include the perception of entities and the role of probability theory in epistemology. -/- A main idea in the book is to begin the validation of the law of causality by identifying that existence causes our consciousness of it. Another key idea is this: The very fact that we perceive entities is the most basic and most extensive evidence that causal forces and causal interactions are regular. -/- Applying Ayn Rand’s principle that characteristics are ranges of measurement, the book offers a philosophical validation of “nonparametric predictive inference,” in turn providing an objective basis for prior probabilities in Bayesian analysis. -/- This book is primarily for a specialized readership—familiar with epistemological ideas and with Ayn Rand’s theory of concepts in particular. The last third of the book uses probability theory and mathematics somewhat beyond basic calculus, but less mathematical explanations are also included to make the general ideas accessible to lay readers. (shrink)

The need to find an intrinsic characterization of what makes a relation between events causal arises not only in local theories of causation like Salmon's process theory but also in global approaches like Lewis' counterfactual theory. According to the localist intuition, whether a process connecting two events is causal should depend only on what goes on between the events, not on conditions that hold elsewhere in the world. If such intrinsic characterizations could be found, an identification of (...) the causal relation in the actual world (though not in other possible worlds) with physical processes may be feasible (the a posteriori identification). I consider recent proposals made for intrinsic characterizations of causality and conclude that none of them is able to deliver the intended result. (shrink)

Using a unique data set of causal usage drawn from research articles published between 2006–2008 in the American Journal of Sociology and American Sociological Review, this article offers an empirical assessment of causality in American sociology. Testing various aspects of what we consider the conventional wisdom on causality in the discipline, we find that “variablistic” or “covering law” models are not the dominant way of making causal claims, research methods affect but do not determine causal usage, and (...) the use of explicit causal language and the concept of “mechanisms” to make causal claims is limited. Instead, we find that metaphors and metaphoric reasoning are fundamental for causal claims-making in the discipline. On this basis, we define three dominant causal types used in sociology today, which we label the Probabilistic, Initiating and Conditioning types. We theorize this outcome as demonstrating the primary role that cognitive models play in providing inference-rich metaphors that allow sociologists to map causal relationships on to empirical processes. (shrink)

John Worrall and Nancy Cartwright have both argued that randomized controlled trials are “testing the wrong theory.” They claim that RCTs are designed to test inferences about the causal relationships in the study population, but this does not guarantee a justified inference about the causal relationships in the more diverse population in clinical practice. In this article I argue that the epistemology of theory testing in trials is more complicated than either Worrall’s or Cartwright’s accounts suggest. I (...) illustrate this more complex theoretical structure with case studies in medical theory testing from Alzheimer’s research and anticancer drugs in personalized medicine. (shrink)

The paper revisits the old controversy over causality and determinism and argues, in the first place, that non˗deterministic theories of modern science are largely irrelevant to the philosophical issue of the causality principle. As it seems to be the ‘moral’ of the uncertainty principle, the reason why a deterministic theory cannot be applied to the description of certain physical systems is that it is impossible to capture such properties of the system, which are required by a desired theory. These (...) properties constitute what is called ‘the state’ of a system. However, the notion of a state of a system is relative: it depends on a particular theory which one would like to use to describe given kinds of phenomena. This implies that, even in the case where the desired state of a system is fundamentally impossible to be captured, neither ontological nor epistemological determinism may be excluded. Some following critical considerations are also offered with regard to the claim that uncertainty is “rooted in the things themselves”. The cradle of modern discussions about causality and determinism is, of course, quantum mechanics. Because, as it appears, a judgment on deterministic or non˗deterministic character of a theory can be made only after some interpretation of this theory has been given, the paper briefly reminds some chosen interpretations of quantum mechanics (Schrödinger's, probabilistic, statistical, Copenhagen, and the interpretation of quantum ensembles). Many of such interpretations, offered in the past, have now been rejected, and some gained more credibility than the others. Nonetheless, even the claim that indeterminism is irremovable from the description of the micro-world doesn't imply the rejection of the most general formula of the philosophical causality principle. There is no direct implication between theses of the epistemology of scientific knowledge and those of the ontology of the real world. (shrink)

In this doctoral thesis, I will argue that in his De motu (1721, ‘On motion’), Bishop George Berkeley (c.1684–1753) develops a pragmatist theory of causation regarding mechanical theories outlined previously with Newtonianism. I place chief emphasis on the importance of logic and mathematics in Berkeley’s scientific approach, on which the other levels of semantics, epistemology, and mechanics build up. On my rendering, Berkeley’s pragmatic method to conceive or mathematically imagine causation makes sense in terms of mechanical causes or (...) ‘mathematical hypotheses’. For the mechanist maintains the usefulness and truthfulness of causation by the following definition. Definition. A pragmatist theory of causation is one which holds that: 1 Causal terms are indispensable in scientific deliberation for their usefulness; they cannot be eliminated [contra reductionism]. 2 What a cause is is defined by one’s temporal deliberative practices, independent of a temporal structure that theories hold [contra structuralism]. 3 Causal laws (theories formulated in causal terms) are genuinely true, not fictitious, when one confirms and deduces them [contra instrumentalism]. By justifying this definition, I will object to three rival readings—reductionism, structuralism, and instrumentalism—to my reading of Berkeley as a pragmatist about causation. In particular, my pragmatist reading criticises the most popular instrumentalist reading because, according to the latter, talk of causal terms like forces can be false or merely fictitious inasmuch as one can hold the utility of theories in mechanical practices. The instrumentalist reading is then compatible with mathematical formalism, according to which it is not truth or meaning that counts as formal manipulation or game of meaningless symbols, thereby eschewing a platonist attitude towards mathematical objects. However, I rebut the formalistic instrumentalism from Berkeley’s logical and realist standpoint, maintaining the irreducibility of occult qualities that mathematical objects have in their formulation from hypotheses to propositions. Light shall be shed on the tenet I propose that law-propositions formulated in hypothetical, causal terms must be true, neither false nor fictitious, when we (1) frame, (2) confirm, and (3) express them to the extent of our discursive thinking (in three steps). [339 words]. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Reviewed by:Epistemology in Pracīna and Navya NyāyaJonardon GaneriEpistemology in Pracīna and Navya Nyāya. By Sukharanjan Saha. Kolkata: Jadavpur University, 2003. Pp. 166.Epistemology in Pracīna and Navya Nyāya, by Sukharanjan Saha, usefully collates ten previously published essays on Indian epistemology: two longer essays first published in 1986 and a series of more recent shorter pieces. The leading thesis of the book is that the epistemology of (...) the older writers in the tradition of Nyāya-Vaiṣesika is, in important respects, better than the "new epistemology" originating with Gaṅgeśa. Sustained attention is given to the epistemology of the Vaiśeṣika thinker Praśastapāda (ca. A.D. 660), and the first six essays all "seek to show that Praśastapāda's views are more acceptable than those of Gaṅgeśa considered from the point of view of contemporary epistemology" (p. 4). The remaining essays argue in support of a similar conclusion with regard to certain ideas found in the older Nyāya of Gautama and Vātsyāyana. The titles of the essays collected here are: (1) "Epistemology in Pracīna and Navya Nyāya"; (2) "Kindred Points in an Old Epistemology" (1986); (3) "Gaṅgeśa's Reactions to Some Gettier-like Problems" (1986); (4) "The Unestab-lished Reason in Nyāya"; (5) "The Savyabhicāra Hetvābhāsa in Nyāya and Vaiśeṣika Schools"; (6) "The Thesis of Nirvikalpaka in Nyāya and Vaiśeṣika"; (7) "Truth as Avyabhicāritatva"; (8) "A Note on the Definition of Pramā; (9) "Nyāya Theory of Predication"; (10) "The Present and Its Knowledge"; and (11) "Types of Inference in Gautama and Vātsyāyana."Whether or not one finds oneself in agreement with Saha's specific arguments, the general conception of the book seems to me to be laudable. The astonishing [End Page 120] continuity of the Indian philosophical tradition makes it all too easy to survey the history of Indian philosophy and assume that historical development runs in tandem with philosophical progression. It is tempting to think, for example, that Gaṅśa, reviewing the epistemology of the older tradition, and considering the various objections that had been brought against it by external critics like Śrīharṣa and the later Buddhists, produced a new theory that was both an improvement on and a systematization of earlier Nyāya epistemology. To succumb to this temptation would be a mistake, however, for at least two reasons. First, it might be that the discussion of the earlier thinkers was, though less sophisticated, "closer to the ground," so to speak, than that of their successors. The comparative absence of theoretical baggage may have enabled those earlier writers to remain true to the facts, even when they could not easily be explained or systematized. This does indeed seem to be the case with the sūtra texts, and it is also very noticeably the case with Praśastapāda, who exhibited, for instance in his discussion of motion, an openness to the facts rather than closure born of theoretical over-commitment.Second and relatedly, it might be that the earlier thinkers had not yet closed down the range of topics and approaches deemed worthy of philosophical discussion or exploration. Thus, again in the sūtras, we find the beginnings of discussions on an enormous array of issues and hypotheses, not all of which were subsequently picked up or extended in later theory. Saha, for example, argues that Gaṅgeśa committed the later tradition to a rigid causal theory of knowledge, and suggests further that because of this he "failed to appreciate the richness of the philosophical insight of the founders of the system of philosophy to which he owes his allegiance" (p. 69). If this is right, then a return to the earlier strata of the tradition might well lead to an enrichment of our understanding of the range of philosophical possibility. Saha's approach, then, helps to guard the modern student of Indian philosophy from mistakenly thinking that "newer is always better," just as we have learned to be on guard against the older and contrary... (shrink)

Backtracking counterfactuals are problem cases for the standard, similarity based, theories of counterfactuals e.g., Lewis. These theories usually need to employ extra-assumptions to deal with those cases. Hiddleston, 632–657, 2005) proposes a causal theory of counterfactuals that, supposedly, deals well with backtracking. The main advantage of the causal theory is that it provides a unified account for backtracking and non-backtracking counterfactuals. In this paper, I present a backtracking counterfactual that is a problem case for Hiddleston’s account. (...) Then I propose an informational theory of counterfactuals, which deals well with this problem case while maintaining the main advantage of Hiddleston’s account. In addition, the informational theory offers a general theory of backtracking that provides clues for the semantics and epistemology of counterfactuals. I propose that backtracking is reasonable when the state of affairs expressed in the antecedent of a counterfactual transmits less information about an event in the past than the actual state of affairs. (shrink)

Epistemological realism was postulated as a prolegomenon to clinical research. Observation of single cases must precede any effort for generalization. Observation of men by men is always a field process. In clinical research the experimenter exercises a great amount of power over the subject, thus a naive empirical approach and operationism may be misleading. Clinical theory must be coated in a language different from empirical data and enable the formation of causal chains of events.

Qiyās, or “correlational inference”, comprises a primary set of methodological tools recognized by a majority of premodern Sunnī jurists. Its elements, valid modes, and proper applications were the focus of continual argument and refinement. A particular area of debate was the methodology of determining or justifying the ʿilla: the legal cause giving rise to a ruling in God’s Law. This was most often discussed under the rubric of “the modes of causal justification”. Among these modes was the much debated (...) test of dawarān. In brief, proponents of dawarān employed it to justify claims that a property occasioned the ruling in an authoritative source-case. In concert with other considerations, the demonstrated co-presence and co-absence of property and ruling—that is, their concomitance “in existence” and “in nonexistence” — was taken as an indication that the property was the ruling’s ʿilla. Delving further into dawarān and causation, the current study interprets “in existence” and “in nonexistence” not as a kind of metaphor for true and false, but as an accurate terminology vis-à-vis the meaning of causality statements, fully compatible with dominant Islamicate views on causal agency. In brief, a deeper logical and linguistic analysis of the different existential modes of dawarān strongly suggests that we should distinguish property and ruling as types as opposed to tokens. Our reading of dawarān as shaped by a finer-grained structure not only allows us to identify the efficient occasioning process as a function which takes some particular token of the ʿilla and renders a token of the general ruling type, but it allows us to elucidate the role of taʿlīl in shaping an epistemological theory of argument to the best explanation: a sophisticated, premodern manifestation of abductive reasoning. (shrink)

In this impressive second edition of Theory of Knowledge, Keith Lehrer introduces students to the major traditional and contemporary accounts of knowing. Beginning with the traditional definition of knowledge as justified true belief, Lehrer explores the truth, belief, and justification conditions on the way to a thorough examination of foundation theories of knowledge,the work of Platinga, externalism and naturalized epistemologies, internalism and modern coherence theories, contextualism, and recent reliabilist and causal theories. Lehrer gives all views careful (...) examination and concludes that external factors must be matched by appropriate internal factors to yield knowledge. This match of internal and external factors follows from Lehrer’s new coherence theory of undefeated justification. In addition to doing justice to the living epistemological traditions, the text smoothly integrates several new lines that will interest scholars. Also, a feature of special interest is Lehrer’s concept of a justification game.This second edition of Theory of Knowledge is a thoroughly revised and updated version that contains several completely new chapters. Written by a well-known scholar and contributor to modern epistemology, this text is distinguished by clarity of structure, accessible writing, and an elegant mix of traditional material, contemporary ideas, and well-motivated innovation. (shrink)

Some proponents of structural representations (henceforth, structuralists) claim that no other theory of representation can legitimatize the explanatory appeals that cognitive science makes to mental content. Because other naturalistic approaches to representation purportedly posit an arbitrary relation between representing vehicles and representational content, these approaches must appeal to the role played by a representation, i.e., how it is used by the system in which it is embedded, to ground its content. This is in supposed contrast to structural representations, in which (...) the relation of resemblance results in a non-arbitrary relationship between vehicles and content. Structuralists argue that, as a result, approaches that posit structural representations can, and alternative approaches cannot, explain how representational content can be causally relevant in the production of behavior. In this paper, I will argue that structural representations are susceptible to the very same critiques that proponents level against what they sometimes refer to as “use” theories. This, I contend, is not surprising given that a theory of structural representations is, in fact, just as much a use-theory as alternative approaches. (shrink)

Causal theories of perception typically have problems in explaining deviant causal chains. They also have difficulty with other unusual putative cases of perception involving prosthetic aids, defective perception, scientifically extended cases of perception, and so on. But I show how a more adequate reflexive causal theory, in which objects or properties X cause a perceiver to acquire X-related dispositions toward that very same item X, can provide a plausible and principled perceptual explanation of all of these (...) kinds of cases. A critical discussion of David Lewis's perceptual descriptivist views is also provided, including a defense of the logical possibility of systematic misperception or perceptual error for a perceiver, in spite of its empirical improbability. (shrink)

The framework of causal Bayes nets, currently influential in several scientific disciplines, provides a rich formalism to study the connection between causality and probability from an epistemological perspective. This article compares three assumptions in the literature that seem to constrain the connection between causality and probability in the style of Occam's razor. The trio includes two minimality assumptions—one formulated by Spirtes, Glymour, and Scheines (SGS) and the other due to Pearl—and the more well-known faithfulness or stability assumption. In terms (...) of logical strength, it is fairly obvious that the three form a sequence of increasingly stronger assumptions. The focus of this article, however, is to investigate the nature of their relative strength. The comparative analysis reveals an important sense in which Pearl's minimality assumption is as strong as the faithfulness assumption and identifies a useful condition under which it is as safe as SGS's relatively secure minimality assumption. Both findings have notable implications for the theory and practice of causal inference. 1 Introduction2 Background: Inference of Causal Structure in Markovian Causal Models3 Three Assumptions of Simplicity4 A Comparison of P-minimality and Faithfulness5 A Comparison of P-minimality and SGS-minimality6 Methodological Formulations and Prior Knowledge of Causal Order7 Conclusion. (shrink)

Words, Thoughts and Theories arguesthat infants and children discover the physical and psychological featuresof the world by a process akin to scientific inquiry, more or less asconceived by philosophers of science in the 1960s (the theory theory).This essay discusses some of the philosophical background to analternative, more popular, ``modular'''' or ``maturational'''' account ofdevelopment, dismisses an array of philosophical objections to the theorytheory, suggests that the theory theory offers an undeveloped project forartificial intelligence, and, relying on recent psychological work oncausation, (...) offers suggestions about how principles of causal inference mayprovide a developmental solution to the ``frame problem''''. (shrink)

The epistemic theory of causality views causality as a tool that helps us to predict, explain and control our world, rather than as a relation that exists independently of our epistemic practices. In this chapter, we first provide an introduction to the epistemic theory of causality. We then outline four considerations that motivate the epistemic theory: the failure of standard theories of causality; parsimony; the epistemology of causality; and neutrality. We illustrate these four considerations in the contexts of (...) the social sciences and the cognitive sciences. We argue that the epistemic theory provides a very natural account of causality across these contexts. (shrink)